One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Using the prepared data, you’ll then create the machine learning model. There are a variety of algorithms you can use for this task, but determining which to use depends on the goal you wish to ...

Companies spend millions of dollars training machine-learning algorithms to recognize faces or rank social posts, because the algorithms often can solve a problem more quickly than human coders alone.

The name CEBRA is an apt one because the algorithm ‘stripes’ the information to handle the joint data. Furthermore, zebras have become particularly fashionable in machine learning, thanks to a ...

The amount of data collected about health care in the United States is enormous 1 and continues to grow rapidly. Machine learning has become embedded in the health insurance industry for tasks ...